Exploring Vibrations of UAV Propellers: A Preliminary Study for Characterization and Fault Detection
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00375277" target="_blank" >RIV/68407700:21260/24:00375277 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.23919/NTCA60572.2024.10517835" target="_blank" >https://doi.org/10.23919/NTCA60572.2024.10517835</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/NTCA60572.2024.10517835" target="_blank" >10.23919/NTCA60572.2024.10517835</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Exploring Vibrations of UAV Propellers: A Preliminary Study for Characterization and Fault Detection
Popis výsledku v původním jazyce
The propulsion systems of unmanned aircraft such as multicopters are very vulnerable to any kind of damage. Thus, the presented study introduces the possibility of using vibration sensing to determine the condition of the rotating propeller to detect possible damage or contamination. For the purpose of this study, a test stand was designed and a total of 3 different propeller damages were tested. These included minor and major damage to the tip of the propeller blade as well as disruption of the leading edge profile geometry. Propeller vibration was captured within the operating range of propeller (from 3 500 to 6000 RPM) in the axial X-axis and radial Y-axis. The measured data were processed by spectral analysis, i.e., by calculating the amplitude spectrum using a Fourier Transform. The outputs in the form of spectograms for each damage type and individual RPM were further processed by Principal Component Analysis (PCA). From the PCA, it was possible to identify the vibration frequency spectrum of the tested propeller and the individual damaged states.
Název v anglickém jazyce
Exploring Vibrations of UAV Propellers: A Preliminary Study for Characterization and Fault Detection
Popis výsledku anglicky
The propulsion systems of unmanned aircraft such as multicopters are very vulnerable to any kind of damage. Thus, the presented study introduces the possibility of using vibration sensing to determine the condition of the rotating propeller to detect possible damage or contamination. For the purpose of this study, a test stand was designed and a total of 3 different propeller damages were tested. These included minor and major damage to the tip of the propeller blade as well as disruption of the leading edge profile geometry. Propeller vibration was captured within the operating range of propeller (from 3 500 to 6000 RPM) in the axial X-axis and radial Y-axis. The measured data were processed by spectral analysis, i.e., by calculating the amplitude spectrum using a Fourier Transform. The outputs in the form of spectograms for each damage type and individual RPM were further processed by Principal Component Analysis (PCA). From the PCA, it was possible to identify the vibration frequency spectrum of the tested propeller and the individual damaged states.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20304 - Aerospace engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
New Trends in Civil Aviation: Proceedings of the 24th International Conference on New Trends in Civil Aviation 2024
ISBN
978-80-01-07181-6
ISSN
2694-7854
e-ISSN
—
Počet stran výsledku
5
Strana od-do
247-251
Název nakladatele
České vysoké učení technické v Praze
Místo vydání
Praha
Místo konání akce
Praha
Datum konání akce
25. 4. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001223424800024